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Article

Assessment of Forest Ecosystem Variations in the Lancang–Mekong Region by Remote Sensing from 2010 to 2020

1
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China
2
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Sensors 2023, 23(22), 9038; https://doi.org/10.3390/s23229038
Submission received: 16 August 2023 / Revised: 18 October 2023 / Accepted: 3 November 2023 / Published: 8 November 2023

Abstract

Five countries in the Lancang–Mekong region, including Myanmar, Laos, Thailand, Cambodia, and Vietnam, are facing the threat of deforestation, despite having a high level of forest coverage. Quantitatively assessing the forest ecosystem status and its variations based on remote sensing products for vegetation parameters is a crucial prerequisite for the ongoing phase of our future project. In this study, we analyzed forest health in the year 2020 using four vegetation indicators: forest coverage index (FCI), leaf area index (LAI), fraction of green vegetation cover (FVC), and gross primary productivity (GPP). Additionally, we introduced an ecosystem quality index (EQI) to assess the quality of forest health. To understand the long-term trends in the vegetation indicators and EQI, we also performed a linear regression analysis from 2010 to 2020. The results revealed that Laos ranked as the top-performing country for forest ecosystem status in the Lancang–Mekong region in 2020. However, the long-term trend analysis results showed that Cambodia experienced the most significant decline across all indicators, while Vietnam and Thailand demonstrated varying degrees of improvement. This study provides a quality assessment of forest health and its variations in the Lancang–Mekong region, which is crucial for implementing effective conservation strategies.
Keywords: forest ecosystem; Lancang–Mekong region; FCI; LAI; FVC; GPP; EQI forest ecosystem; Lancang–Mekong region; FCI; LAI; FVC; GPP; EQI

Share and Cite

MDPI and ACS Style

Zhao, J.; Li, J.; Liu, Q.; Dong, Y.; Li, L.; Zhang, H. Assessment of Forest Ecosystem Variations in the Lancang–Mekong Region by Remote Sensing from 2010 to 2020. Sensors 2023, 23, 9038. https://doi.org/10.3390/s23229038

AMA Style

Zhao J, Li J, Liu Q, Dong Y, Li L, Zhang H. Assessment of Forest Ecosystem Variations in the Lancang–Mekong Region by Remote Sensing from 2010 to 2020. Sensors. 2023; 23(22):9038. https://doi.org/10.3390/s23229038

Chicago/Turabian Style

Zhao, Jing, Jing Li, Qinhuo Liu, Yadong Dong, Li Li, and Hu Zhang. 2023. "Assessment of Forest Ecosystem Variations in the Lancang–Mekong Region by Remote Sensing from 2010 to 2020" Sensors 23, no. 22: 9038. https://doi.org/10.3390/s23229038

APA Style

Zhao, J., Li, J., Liu, Q., Dong, Y., Li, L., & Zhang, H. (2023). Assessment of Forest Ecosystem Variations in the Lancang–Mekong Region by Remote Sensing from 2010 to 2020. Sensors, 23(22), 9038. https://doi.org/10.3390/s23229038

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